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Download e-book for iPad: Artificial Intelligence in Medicine: 6th Conference on by Russell H. Taylor (auth.), Elpida Keravnou, Catherine

By Russell H. Taylor (auth.), Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt (eds.)

ISBN-10: 354062709X

ISBN-13: 9783540627098

This publication constitutes the refereed lawsuits of the sixth convention on synthetic Intelligence in medication Europe, AIME'97, held in Grenoble, France, in March 1997.
The quantity offers 33 revised complete papers chosen from a complete of eighty two submissions; additionally integrated are 3 invited shows and 25 posters. The papers are geared up in topical sections on protocols and guidance, wisdom acquisition and studying, decision-support theories, diagnostic challenge fixing, probabilistic versions and fuzzy good judgment, temporal reasoning and making plans, normal language and terminology, snapshot and sign processing, and hybrid and cooperative systems.

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Extra resources for Artificial Intelligence in Medicine: 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97 Grenoble, France, March 23–26, 1997 Proceedings

Sample text

From the definition. ⇒ (• α + β • , α) ≈ (• β + α• , β). Similarity of Generalized Resources in Petri Nets ✎☞ ✍✌ ✲ a p1 ✲ ✍✌ ✲ a p4 ✲ b ✍✌ p2 t1 ✎☞ ✎☞ ✲ ✎☞ ✍✌ ✲ c ✎☞ ✍✌ p3 t2 p5 t3 ✲ ✲ t4 33 ✎☞ (p1 + p5 , t1 ) ≈ (p2 + p4 , t3 ) (p3 , ∅) ≈ (p6 , ∅) ✍✌ p6 a) interchangeable resources; ✛ a ✎☞ ✛ ✛ ✲ a ✲ ✍✌ p1 t1 (p1 , t1 ) ≈ (p1 , t2 ) (2p1 , t1 ) ≈ (2p1 , t2 ) t2 b) equivalent activities; ✎☞ ✍✌ ✲ a p1 ✲ ✎☞ ✛ ✲ b ✍✌ (p1 , ∅) ≈ (p1 + p2 , ∅) (p1 , t1 ) ≈ (p1 + p2 , t1 ) p2 t1 t2 c) equivalent materials; ✎☞ ✲ ✑ a ✸ ✍✌ ✑ ❙ ✎☞ p2 t1 ❙ ✑ ❙ ✍✌ ◗ ❙ p1 ◗ ✇✎☞ ✲ s a ◗ ✍✌ (p1 , t1 ) ≈ (p1 + p2 , t2 ) p3 t2 d) more effective activity; a t1 ✛ ✎☞ ✲ ✍✌ p1 (p1 , t1 ) ≈ (2p1 , t1 ) (p1 , ∅) ≈ (2p1 , ∅) (∅, ∅) ≈ (p1 , ∅) e) removable and redundant materials.

Next, define the functor T Pr : MDom → TPES, extending the functor Pr from [14] in the following manner. Definition 4. For a marked domain (D, m) ∈ |MDom|, define T Pr(D, m) = (S P 0 , · ) with S = Pr(D).

It is a finite union of linear sets. Let P and T be disjoint sets of places and transitions and let F : (P × T ) ∪ (T × P ) → Nat. Then N = (P, T, F ) is a Petri net. A marking in a Petri net is a function M : P → Nat, mapping each place to some natural number (possibly zero). Thus a marking may be considered as a multiset over the set of places. Pictorially, P -elements are represented by circles, T -elements by boxes, and the flow relation F by directed arcs. Places may carry tokens represented by filled circles.

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Artificial Intelligence in Medicine: 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97 Grenoble, France, March 23–26, 1997 Proceedings by Russell H. Taylor (auth.), Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt (eds.)


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